Micromachines | |
Refined Method for Droplet Microfluidics-Enabled Detection of |
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Marianne Smedegaard Hede5  Patricia Nkem Okorie6  Signe Kirk Fruekilde1  Søren Fjelstrup1  Jonas Thomsen5  Oskar Franch1  Cinzia Tesauro1  Magnus Tobias Bugge1  Mette Christiansen7  Stéphane Picot8  Felix Lötsch4  Ghyslain Mombo-Ngoma4  Johannes Mischlinger4  Ayôla A. Adegnika4  Finn Skou Pedersen1  Yi-Ping Ho1  Eskild Petersen2  Magnus Stougaard5  Michael Ramharter4  Birgitta Ruth Knudsen1  Andrew deMello3  | |
[1] Department of Molecular Biology and Genetics, University of Aarhus, 8000 Aarhus C, Denmark;Department of Infectious Diseases, Aarhus University Hospital, 8200 Aarhus N, Denmark;;Zymonostics, 8000 Aarhus C, DenmarkCentre de Recherches Médicales de Lambaréné, Lambaréné, Gabon;Zymonostics, 8000 Aarhus C, Denmark;Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, 200001 Ibadan, Nigeria;Department of Clinical Immunology, Aarhus University Hospital, 8200 Aarhus N, Denmark;Malaria Research Unit, SMITh, ICBMS, UMR 5246 CNRS-INSA-CPE-UCBL1 & Institut de Parasitologie et Mycologie Médicale, Hospices Civils de Lyon, 69373 Lyon Cedex 08, France; | |
关键词: malaria; point-of-care; droplet microfluidics; diagnostics; topoisomerase; | |
DOI : 10.3390/mi6101432 | |
来源: mdpi | |
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【 摘 要 】
Rapid and reliable diagnosis is essential in the fight against malaria, which remains one of the most deadly infectious diseases in the world. In the present study we take advantage of a droplet microfluidics platform combined with a novel and user-friendly biosensor for revealing the main malaria-causing agent, the
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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